Requirements

Expected technologies

Jira

Confluence

Azure DevOps Boards

Power Query

Microsoft Power BI

Tableau

SQL

Operating system

Windows

Our requirements

• Bachelor’s or Master’s Degree in Computer Science, Information Technology or related fields
• Proven experience (5+ years) as a Data Analyst or similar role in data related projects, working in insurance/finance industry in large multinational environment would be an asset
• In-depth knowledge of data migration concepts, ETL processes and database management systems
• Proficiency in SQL and /or other scripting languages for complex data extraction and transformation
• Knowledge on data management principles, data profiling and quality management, compliance standards
• Deep understanding of business context of the data
• Detail oriented, excellent problem solving skills
• Excellent communication and interpersonal skills to collaborate effectively with team members and stakeholders
• Hands on experience with agile practices and agile project management tools (eg. Jira, Confluence, Azure DevOps Boards)
• Ability to work in fast-paced environment and adapt to changing project requirements
• Fluency in English (written & spoken) is required; additionally
• Experience with data visualization tools (eg. Power BI, Tableau) incl. strong skills in DAX, Power Query and effective visualization techniques

Optional

• German language would be a strong asset
• Understanding of financial and insurance context would be an asset

Your responsibilities

• Lead data analysis, collaborate with cross-functional team, business stakeholders and SME’s to understand data delivery requirements and business context of the data
• Develop and implement advanced reporting solutions utilizing Power BI to deliver insightful data visualizations and support strategic decision-making.
• Actively assist team with data analysis activities at each stage of data delivery process, mentor junior colleagues fostering knowledge-sharing environment
• Analyze source systems and underlying database, develop source to target data mappings
• Develop and document data extraction and transformation scripts/queries to support ETL processes to migrate data between systems
• Support development of data quality testing framework by defining data quality rules, perform source to target data reconciliation to validate accuracy & integrity of migrated data
• Collaborate with Project and Delivery Lead to address technical challenges, troubleshoot issues to ensure seamless execution of the roadmap
• Contribute to development of the data analyst playbook, embedding best practices and standards
• Participate in agile ceremonies, providing regular updates on technical progress and addressing potential risks
• Perform data validation and reconciliation to validate accuracy of migrated data